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Deep convolutional autoencoder for radar-based classification of similar aided and unaided human activities.

, , and . IEEE Trans. Aerosp. Electron. Syst., 54 (4): 1709-1723 (2018)

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Kinematic Model-Based Human Detectors for Multi-Channel Radar., , and . IEEE Trans. Aerosp. Electron. Syst., 48 (2): 1306-1318 (2012)Effect of Kinematics and Fluency in Adversarial Synthetic Data Generation for ASL Recognition With RF Sensors., , , , , and . IEEE Trans. Aerosp. Electron. Syst., 58 (4): 2732-2745 (2022)Guest Editorial for the TAES Special Section on Deep Learning for Radar Applications., , and . IEEE Trans. Aerosp. Electron. Syst., 60 (1): 4-7 (February 2024)Word-Level ASL Recognition and Trigger Sign Detection with RF Sensors., , , , , , , and . ICASSP, page 8233-8237. IEEE, (2021)Physics-Aware Machine Learning for Dynamic, Data-Driven Radar Target Recognition.. DDDAS, volume 13984 of Lecture Notes in Computer Science, page 114-122. Springer, (2022)Radar simulation of human micro-Doppler signature from video motion capture data., , and . SIU, page 1-4. IEEE, (2013)Radar simulation of different human activities via Kinect., , , and . SIU, page 1015-1018. IEEE, (2014)Data-dependent micro-Doppler feature selection., , , and . SIU, page 1566-1569. IEEE, (2015)Application and Modeling of a Magnetic WSN for Target Localization., , and . UKSim, page 687-692. IEEE, (2013)Deep convolutional autoencoder for radar-based classification of similar aided and unaided human activities., , and . IEEE Trans. Aerosp. Electron. Syst., 54 (4): 1709-1723 (2018)